Alternatives and similar repositories for swscnn

Users that are interested in swscnn are comparing it to the libraries listed below

• daniilidis-group / emvn
  Demo source code for the paper "Equivariant Multi-View Networks".
  ☆57Updated 2 years ago
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆34Updated 4 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• diegovalsesia / GraphCNN-GAN
  Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…
  ☆59Updated 5 years ago
• syb7573330 / PointGrow
  An autoregressive model for point cloud generation augmented with self-attention
  ☆28Updated 5 years ago
• peisuke / ImplicitGeometricRegularization.pytorch
  ☆56Updated 2 years ago
• val-iisc / ssl_3d_recon
  Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)
  ☆28Updated 5 years ago
• chrischoy / HighDimConvNets
  [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
  ☆40Updated 4 years ago
• vcg-uvic / linearized_multisampling_release
  Code release for ICCV 2019 Oral, "Linearized Multi-Sampling for Differentiable Image Transformation"
  ☆52Updated 2 years ago
• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated 2 years ago
• meder411 / MappedConvolutions
  Official PyTorch implementation of Mapped Convolutions
  ☆31Updated last year
• maxjiang93 / ugscnn
  Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators
  ☆168Updated 2 years ago
• klnavaneet / ssl_3d_recon
  Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)
  ☆22Updated 5 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆79Updated 4 years ago
• maxjiang93 / DDSL
  DDSL: Deep Differential Simplex Layer for Neural Networks
  ☆55Updated 4 years ago
• wangyida / forknet
  ForkNet: Adversarial Semantic Scene Completion from a Single Depth Image - ICCV 2019
  ☆62Updated 4 years ago
• cuge1995 / ECCV-2020-point-cloud-analysis
  ECCV 2020 papers focusing on point cloud analysis
  ☆22Updated 4 years ago
• leoshine / Spherical_Regression
  PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
  ☆149Updated 4 years ago
• Regenerator / dpf-nets
  Flow-based generative model for 3D point clouds.
  ☆44Updated 5 years ago
• dmsm / DeepParametricShapes
  Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.
  ☆54Updated 4 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated 9 months ago
• hkust-vgd / riconv
  Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
  ☆57Updated 6 years ago
• deepsphere / deepsphere-tf1
  DeepSphere: a graph-based spherical CNN (TensorFlow)
  ☆15Updated 4 years ago
• tolgabirdal / qecnetworks
  Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"
  ☆45Updated 3 years ago
• zswang666 / PnP-Depth
  Implementation for "Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation"
  ☆59Updated 6 years ago
• ShiceLiu / SATNet
  See and Think: Disentangling Semantic Scene Completion
  ☆49Updated 6 years ago
• frobelbest / LSM
  LSM: Learning Subspace Minimization for Low-Level Vision (CVPR'2020)
  ☆45Updated 5 years ago
• daniilidis-group / spherical-cnn
  Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"
  ☆299Updated 3 years ago
• anuragranj / flowattack
  Attacking Optical Flow (ICCV 2019)
  ☆59Updated 5 years ago
• cuge1995 / CVPR-2020-point-cloud-analysis
  CVPR 2020 papers focusing on point cloud analysis
  ☆47Updated 4 years ago